3 citations · 16 across the 13 of their papers we have counts for
6 papers · 1 filter
Generative Expressive Conversational Speech Synthesis
Rui Liu, Yifan Hu, Yi Ren +2
Conversational Speech Synthesis (CSS) aims to express a target utterance with the proper speaking style in a user-agent conversation setting. Existing CSS methods employ effective…
Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling
Rui Liu, Yifan Hu, Yi Ren +2
Conversational Speech Synthesis (CSS) aims to accurately express an utterance with the appropriate prosody and emotional inflection within a conversational setting. While recognisi…
FCTalker: Fine and Coarse Grained Context Modeling for Expressive Conversational Speech Synthesis
Yifan Hu, Rui Liu, Guanglai Gao +1
Conversational Text-to-Speech (TTS) aims to synthesis an utterance with the right linguistic and affective prosody in a conversational context. The correlation between the current…
A Deep Investigation of RNN and Self-attention for the Cyrillic-Traditional Mongolian Bidirectional Conversion
Muhan Na, Rui Liu, Feilong +1
Cyrillic and Traditional Mongolian are the two main members of the Mongolian writing system. The Cyrillic-Traditional Mongolian Bidirectional Conversion (CTMBC) task includes two c…
Reinforcement Learning for Emotional Text-to-Speech Synthesis with Improved Emotion Discriminability
Rui Liu, Berrak Sisman, Haizhou Li
Emotional text-to-speech synthesis (ETTS) has seen much progress in recent years. However, the generated voice is often not perceptually identifiable by its intended emotion catego…
Teacher-Student Training for Robust Tacotron-based TTS
Rui Liu, Berrak Sisman, Jingdong Li +3
While neural end-to-end text-to-speech (TTS) is superior to conventional statistical methods in many ways, the exposure bias problem in the autoregressive models remains an issue t…